This review presents the views of an expert group of nephrologists from the Middle East along with an international expert on adaptation and implementation of the 2009 Kidney Disease: Improving Global Outcomes (KDIGO) guidelines for evaluation and manage-ment of mineral and bone disorders in chronic kidney disease (CKD-MBD) for practice in the Middle East countries. The members of the panel examined the KDIGO guidelines and formulated recommendations that can be implemented practically for the management of CKD-MBD in the Middle East. There was a broad agreement on most of the recommendations made by the KDIGO work-group. However, the panelists commented on specific areas and amplified certain concepts that might help the nephrologists in the Middle East. The final document was reviewed by all participants as well as by members of the Middle East task force implementation group for KDIGO guidelines. Their comments were incorporated. The guideline statements are presented along with detailed rationale and relevant discussion as well as limitations of the evidence. The panel recognized the need to upgrade the suggestion of KDIGO related to lateral abdominal radiograph and echocardiogram in patients with CKD stages 3-5D into a stronger recommendation. The panel underlined the risk of hyper-phosphatemia to CKD-MBD and the importance of prompt initiation or modification of therapy according to rising trends in para-thyroid hormone level. They recommended the use of non-calcium-based phosphate binders as the first-line therapy in CKD patients with signs of vascular calcification. The panel agreed that all aspects of the KDIGO recommendations concerning bone biopsy, evaluation and treatment of bone disease after kidney trans-plantation should be implemented as such.
Objectives: This study aimed to prospectively validate an application that automates the detection of broad categories of hospital adverse events (AEs) extracted from a basic hospital information system, and to efficiently mobilize resources to reduce the level of acquired patient harm.Methods: Data were collected from an internally designed software, extracting results from 14 triggers indicative of patient harm, querying clinical and administrative databases including all inpatient admissions (n = 8760) from October 2019 to June 2020. Representative samples of the triggered cases were clinically validated using chart review by a consensus expert panel. The positive predictive value (PPV) of each trigger was evaluated, and the detection sensitivity of the surveillance system was estimated relative to incidence ranges in the literature. Results:The system identified 394 AEs among 946 triggered cases, associated with 291 patients, yielding an overall PPVof 42%. Variability was observed among the trigger PPVs and among the estimated detection sensitivities across the harm categories, the highest being for the healthcare-associated infections. The median length of stay of patients with an AE showed to be significantly higher than the median for the overall patient population. Conclusions:This application was able to identify AEs across a broad spectrum of harm categories, in a real-time manner, while reducing the use of resources required by other harm detection methods. Such a system could serve as a promising patient safety tool for AE surveillance, allowing for timely, targeted, and resource-efficient interventions, even for hospitals with limited resources.
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